Microsoft trained MAI-Base-2 on 16k GB200 GPUs in just 38 days, with 21% MFU

scaling01 · x · 2026-10-16

scaling01 highlights Microsoft's disclosure that MAI-Base-2 was trained on 16k GB200 GPUs over 38 days in Aug-Sep 2026, averaging 21% MFU and 89% goodput (normalized against GB200's 2.5 PFLOPS BF16 peak, excluding rematerialization and optimizer FLOPs).

His take: pretraining a frontier model doesn't take that long, and 16k GB200 is 'a handful of OpenAI researchers' worth of compute' — implying top labs' compute stockpiles dwarf this run.

Related event: Microsoft MAI-Base-2 Reportedly a 2.8T-Parameter MoE Trained on 16,000 GB200s(2 posts)→

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